ai scientist

Buck Institute

<div>Position Summary 
The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science. 
This position is ideal for a creative, technically outstanding individual with a Master&rsquo;s degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets. 
The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types. 
We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data.
Key Responsibilities 
1. Develop AI-enabled systems for large-scale data harmonization and modeling 
The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include:<ul><li>
Developing agentic AI workflows to support data curation, quality control, documentation, and analysis</li><li>
Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms</li><li>
Building pipelines to extract, standardize, and validate metadata and data dictionaries</li><li>
Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets</li><li>
Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets</li><li>
Supporting model development for prediction, classification, clustering, and biological interpretation</li><li>
Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery</li></ul>
2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research 
Responsibilities may include:<ul><li>
Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems</li><li>
Designing AI agents capable of interacting with structured and unstructured scientific data</li><li>
Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation</li><li>
Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts</li><li>
Supporting responsible, reproducible, and well-documented use of AI in federally funded research</li><li>
Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools</li></ul>
3. Support large-scale data science and computational biology projects 
The candidate may contribute to analyses involving:<ul><li>
Transcriptomics, including single-cell and bulk RNA-seq</li><li>
Proteomics</li><li>
Metabolomics</li><li>
Epigenetics and biological aging clocks</li><li>
Clinical and phenotypic datasets</li><li>
Survey data</li><li>
Integrative multi-omics</li><li>
Dimensionality reduction and clustering</li><li>
Classification methods and predictive modeling</li><li>
Drug repurposing</li><li>
Network analysis and pathway enrichment</li><li>
Computer vision and feature extraction, as applicable</li></ul>
4. Collaborate across interdisciplinary teams 
The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include:<ul><li>
Translating scientific goals into computational tools and workflows</li><li>
Participating in project meetings and presenting technical progress</li><li>
Creating clear documentation, diagrams, and technical specifications</li><li>
Supporting manuscript preparation, grant writing, figure generation, and reporting</li><li>
Working with diverse teams to improve data transfer, management, and analysis systems</li><li>
Helping establish best practices for AI-assisted data science in biomedical research</li></ul>
Qualifications 
Required Education and Experience<ul><li>
Master&rsquo;s degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered</li><li>
Demonstrated experience building AI, data science, machine learning, or software engineering systems</li><li>
Strong proficiency in Python</li><li>
Experience using large language models, AI APIs, or LLM-based developer tools</li><li>
Experience with modern software engineering practices, version control, testing, documentation, and collaborative development</li><li>
Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems</li></ul>
Required Skills<ul><li>
Strong practical experience with large language models and AI-assisted workflows</li><li>
Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to design systems for organizing, harmonizing, and modeling large datasets</li><li>
Comfort working with structured and unstructured data</li><li>
Excellent written and oral communication skills</li><li>
Strong attention to detail and commitment to reproducibility</li><li>
Ability to collaborate with both technical and non-technical team members</li><li>
High degree of creativity, initiative, and intellectual curiosity</li></ul>
Preferred Qualifications<ul><li>
Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects</li><li>
Experience with biomedical, healthcare, clinical, or omics data</li><li>
Experience with APIs, cloud platforms, Docker, databases, or scalable data systems</li><li>
Experience with vector databases, embeddings, RAG systems, or AI agent frameworks</li><li>
Experience with Python-based data science libraries and machine learning frameworks</li><li>
Familiarity with data harmonization, metadata standards, ontologies, or research data repositories</li><li>
Experience working in fast-paced startup, academic, or highly collaborative environments</li></ul>
Compensation and Benefits<ul><li>
Salary range: $60,000&ndash;$75,000, commensurate with experience</li><li>
Full-time position</li><li>
Exciting, collaborative work environment at the forefront of aging research, AI, and computational biology</li><li>
Opportunity to help build AI-enabled systems for large-scale biomedical discovery</li><li>
Generous benefits package, including:<ul><li>
Health insurance</li><li>
Paid parental leave</li><li>
Generous paid time off</li><li>
401(k) with 5% employer match</li></ul></li><li>
Work visa sponsorship may be available for qualified candidates</li></ul>
About the Buck Institute 
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. 
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging &mdash; the number one risk factor for diseases including Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cancer, macular degeneration, heart disease, and diabetes &mdash; the Buck seeks to help people live better longer. 
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply 
Interested candidates should click the Apply button to complete the online application. 
Please upload:<ul><li>
Resume or CV</li><li>
A brief statement describing your technical interests, relevant AI/data science experience, and examples of systems, tools, or projects you have built</li><li>
Names and contact information for three references, if available</li></ul>
rFEhJpvrzU</div>

AI Data Scientist-Furman lab

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

NXP Semiconductors

<div>Senior Quantization Engineer - Edge AI Model Optimization 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
More information about NXP in India...
#LI-29f4</div>

Senior Quantization Engineer - Edge AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction. We are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. 
 
Key job responsibilities 
<ul><li>Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement.</li><li>Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release.</li><li>Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost.</li><li>Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships.</li></ul> 
Who Thrives Here
 
<ul><li>You're someone who cares as much about shipping as about research.</li><li>You've built models that run in production, not just in notebooks.</li><li>You're comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed.</li><li>You operate well in cross-functional settings where science, engineering, and business teams inform each other continuously.</li><li>You'd rather solve a hard real-world problem than optimize a benchmark.</li></ul> 
What Makes This Different
 
<ul><li>Your work ships to production and directly changes how thousands of finance professionals operate daily.</li><li>The problems are genuinely hard: financial data is messy, regulated, high-stakes, and operates at a scale where naive LLM approaches break down.</li><li>You'll work across multiple domains, from contract intelligence to cash application to financial data investigation, not a single narrow use case.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience programming in Java, C++, Python or related language</li><li>3+ years of building models for business application experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, FinTelligence

Procter & Gamble

<div>
 
 Job Location
 
 
 
 CINCINNATI GENERAL OFFICES
 
 
 
 Job Description
 
 
 
 Do you thrive on tackling billion-dollar data science challenges involving trillions of data points? Are you passionate about breaking new ground where computer science meets hard science? If transforming raw, untidy data into game-changing insights&mdash;and surprising business leaders with the power of Generative and Agentic AI&mdash;sounds like your mission, then P&amp;G is the place for you.
 
 
 As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You&rsquo;ll design and implement advanced models that push the boundaries of AI, optimization, simulation, and machine learning. Your expertise will drive scalable, innovative solutions that combine:
 
 
 <ul>
 <li>
 Cutting-edge Operations Research (optimization, simulation)
 </li>
 <li>
 State-of-the-art machine learning (tree models, deep learning, reinforcement learning)
 </li>
 <li>
 Next-gen Generative AI and Agentic AI techniques to build dynamic, intelligent systems
 
 
 </li>
 </ul>
 Collaborating closely with our Data and AI Engineering teams, you&rsquo;ll turn complex algorithms into robust, production-ready products deployed at scale in cloud environments. From exploratory data analysis and feature engineering to delivering actionable insights, your work will directly shape P&amp;G&rsquo;s competitive edge. Along the way, you&rsquo;ll grow as a recognized thought leader&mdash;mentoring others, sharing your know-how, and quantifying your impact on real-world business outcomes.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Invent and Innovate: Lead the design and development of cutting-edge data science and AI algorithms that challenge the status quo
 </li>
 <li>
 Collaborate to Scale: Partner with engineering teams to productionize and deploy scalable, high-impact solutions
 </li>
 <li>
 Master Large and Complex Data: Drive exploratory analysis, feature engineering, and modeling on massive datasets using cloud tools and platforms
 </li>
 <li>
 Inspire and Elevate: Mentor fellow data scientists and become a go-to expert in AI, optimization, or generative techniques
 </li>
 <li>
 Deliver Impact: Translate complex data into strategic insights that transform business decisions and outcomes
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
 </li>
 <li>
 5+ years of experience in Data Science or related field, with proven record of business impact. Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience
 </li>
 <li>
 Proficient in programming languages such as Python and familiar with major Data Science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
 </li>
 <li>
 Demonstrated ability to develop and test code within cloud environments.
 </li>
 <li>
 Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
 </li>
 <li>
 Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
 </li>
 <li>
 Familiarity with DevOps environments, including tools like Git and CI/CD practices.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to influence others to take action.
 </li>
 <li>
 Ability to work onsite in Cincinnati, OH based office on a hybrid work schedule.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Agentic Development: Has experience developing and deploying AI Agents or agentic workflows in any of the major cloud environments.
 </li>
 <li>
 Familiarity with cutting-edge frameworks and techniques: In this constantly evolving space, evidence of experimenting with the latest releases in foundational models, knowledge graphs, agentic platforms, and the broader AI field.
 </li>
 <li>
 A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
 </li>
 <li>
 Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into.
 
 
 </li>
 </ul>
 Compensation for roles at P&amp;G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of experience. At P&amp;G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&amp;G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.
 
 
 Our company is committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 
 Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&amp;G along with other work authorization FAQ&rsquo;s, please click
 
 HERE
 
 .
 
 
 
 P&amp;G participates in e-verify as required by law.
 
 
 Qualified individuals will not be disadvantaged based on being unemployed.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000147966
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
 
 
 
 Starting Pay / Salary Range
 
 
 
 $110,000.00 - $165,300.00 / year
</div>

Sr. Data Scientist - AI/ML

Fustis LLC

<div>Job Title:
Data Scientist
Location:
100% Remote
Duration:
12 Months
Work Authorisation:
USC Only
Pay Rate:
$65/hr. on W2
Mode of Interview:
Video 
Remote with Forged Fiber 37
Position Overview: 
 
Forged Fiber 37 is a rapidly growing fiber infrastructure company focused on delivering high-quality broadband and network solutions. As we continue to scale, we are investing heavily in data, analytics, artificial intelligence, and automation to drive smarter business decisions, improve operational efficiency, and accelerate growth. 
We are seeking a Data Scientist who is excited to help build the next generation of data and AI capabilities within our organization. Telecommunications or fiber experience is not required. We value curiosity, adaptability, and individuals who are eager to learn our business while bringing fresh ideas and innovative approaches. 

 
Position Summary: 
The Data Scientist will play a critical role in developing analytics, machine learning models, AI-driven solutions, and business intelligence tools that support operations across the organization. This individual will work closely with leadership, operations, engineering, construction, finance, and technology teams to uncover insights, automate processes, and develop intelligent solutions that create measurable business value. 
The ideal candidate thrives in a fast-paced, entrepreneurial environment and enjoys taking ownership of projects from concept through deployment. 

 
Key Responsibilities: 
Develop and deploy machine learning and AI solutions to improve business performance and operational efficiency. 
Analyze large datasets to identify trends, patterns, risks, and opportunities. 
Design and maintain executive dashboards and reporting solutions using Looker. 
Write and optimize complex SQL queries to support analytics and business intelligence initiatives. 
Build scalable data solutions within Google Cloud Platform (GCP). 
Develop, fine-tune, and evaluate Large Language Models (LLMs) and generative AI applications. 
Design and implement Agentic AI solutions to automate workflows and business processes. 
Partner with stakeholders to translate business challenges into data-driven solutions. 
Support forecasting, resource planning, operational analytics, and performance reporting initiatives. 
Collaborate with engineering and technical teams to productionize AI and ML models. 
Present insights and recommendations to technical and non-technical audiences. 
Stay current on emerging technologies, AI advancements, and industry best practices. 

 
Required Qualifications: 
Bachelor//'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 
4+ years of professional experience in Data Science, Analytics, Machine Learning, or a related role. 
Advanced SQL expertise with experience querying and optimizing large datasets. 
Strong experience developing dashboards and reports using Looker BI. 
Hands-on experience with Google Cloud Platform (GCP). 
Experience working with Large Language Models (LLMs), prompt engineering, or model fine-tuning. 
Practical experience developing and deploying AI/ML solutions. 
Experience building AI agents, autonomous workflows, or Agentic AI applications. 
Strong Python programming skills. 
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. 
Excellent analytical, problem-solving, and communication skills. 
 
Preferred Qualifications: 
Experience with BigQuery and cloud-based data warehouses. 
Experience with Retrieval-Augmented Generation (RAG) architectures. 
Knowledge of vector databases and semantic search technologies. 
Experience with MLOps, CI/CD, and model deployment pipelines. 
Startup or high-growth company experience. 
Familiarity with construction, infrastructure, utilities, broadband, or telecommunications industries. 
What Success Looks Like 
Building scalable reporting and analytics solutions that improve decision-making. 
Developing AI-powered tools that automate manual processes and increase efficiency. 
Creating predictive models that help leadership make better operational and financial decisions. 
Bringing innovative ideas and emerging technologies to the business. 
Helping establish a modern data and AI practice that supports Forged Fiber 37//'s continued growth.</div>

Data Scientist

MOZN

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 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
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 Support the development of fraud detection, AML, and Generative AI use cases.
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 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
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 Prepare, clean, and analyze structured and unstructured data.
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 Support the training, evaluation, and deployment of ML models.
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 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
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 Execute assigned tasks within project plans under supervision.
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 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
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 0&ndash;2 years of experience in data science or analytics.
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 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
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 Proficiency in SQL and Python.
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 Experience with data extraction, cleaning, and basic visualization.
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 Familiarity with model evaluation and feature engineering concepts.
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 Proficiency in English; Arabic is a plus.
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 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
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 Benefits
 
 
 
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 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
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 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
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 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
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 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
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 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
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</div>

Data Scientist I

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